How David Stearns views this Mets regression — and how he plans to deal with it By Dan Martin Published June 24, 2025, 9:37 p.m. ET ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

The Joinpoint regression models are a set of linear statistical models for trend analysis of change using the Joinpoint Regression Program 5.1.0 (National Cancer Institute, Washington, DC), which ...

Linear regression (LR) is used to predict thermochemical properties of alkanes at temperatures (0–1000) K to study chemical reaction equilibria inside zeolites. The thermochemical properties of C1 ...

In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained ...

Details a new technique that simplifies point sampling and can offer cities valuable new information about how much different vehicles are contributing to ambient air pollution.

Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.

I'm using Seurat with Harmony for batch correction in my scRNA-seq analysis, and I have a question regarding the regression of multiple covariates. Initially, I attempted to regress out all three ...

Growth can be described using nonlinear models. However, for the culture under study, analyses were conducted using only linear regression models for density characteristics (Tomassoni et al., 2013; ...